Browsing by Subject "abnormal returns"

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Access status: Open Access ,
Price reversal as potential expiration day effect of stock and index futures - evidence from Warsaw Stock Exchange
(Wydawnictwa AGH, 2017) Suliga, Milena
This paper studies an impact of futures expiration days on the Polish equity market. From three potential expiration effects appearing in the literature (namely, the increased trading volume of underlying assets, increased volatility of their returns, and price reversal after expiration), the latest one is researched in detail for expiration days of futures on the WIG20 index, the mWIG40 index, and individual stocks. The data covers the period from January 2001 to December 2016. The phenomenon of price reversal is studied with the use of regression models, price reversal measures, and event study methodology. The results obtained for expiration days are compared with the results from non-expiration days to check whether a potential price reversal can be interpreted as an effect of expiration. No price reversals after futures expirations were found in the returns of the WIG20 nor mWIG40 indexes. In the case of individual stocks, results from all of the three methods support the assumption that price reversal occurs after expiration. The reversal is immediate and is reflected in overnight returns more than in daily returns.
Access status: Open Access ,
Responses of the Warsaw Stock Exchange to the U.S. macroeconomic data announcements
(2012) Gurgul, Henryk; Suliga, Milena; Wójtowicz, Tomasz
Związek pomiędzy napływem informacji a zmianami cen papierów wartościowych jest jednym z głównych zagadnień ekonometrii finansowej. Podstawowym założeniem hipotezy efektywności rynku finansowego jest przekonanie o szybkiej reakcji inwestorów w odpowiedzi na napływające informacje. Reakcja ta prowadzi do zmiany cen walorów odzwierciedlających oczekiwania inwestorów odnośnie do poziomu ryzyka i stóp zwrotu. Celem artykułu jest zbadanie wpływu ogłoszeń danych makroekonomicznych dotyczących inflacji, produkcji przemysłowej i bezrobocia w USA na wielkość obrotów i ceny akcji największych spółek notowanych na GPW w Warszawie w latach 2004-2011. Przeprowadzone badania wykorzystujące metodologię analizy zdarzeń pozwalają ocenić, kiedy i jak pod wpływem napływających danych dotyczących gospodarki USA zmieniają się prognozy oraz oczekiwania inwestorów dotyczące przyszłej sytuacji na rynku Umożliwiają one również ocenę siły, kierunku i długości oddziaływania ogłoszeń każdego z badanych wskaźników.
Access status: Open Access ,
The reaction of investors to analyst recommendations of stocks listed on the WIG20 index
(2016) Suliga, Milena
Analyst recommendations are one of the types of information whose appearance on the market can have an influence on security prices. In this paper, I study the impact of analyst recommendations on stocks listed on the WIG20 Index, using event-study methodology and linear regression models. The dataset contains 576 absolute recommendations published from the 1st of January 2012 to the 1st of September 2015 by various analyst houses. The prefatory study researches price reaction to positive, neutral, and negative recommendations separately. Subsequently, to check if investor reaction depends on a change in the level of recommendation, corresponding research is repeated for events clustered in nine groups defined in terms of possible level changes. Linear regression models with categorical variables are used in search of additional factors affecting investor reactions. Changes in the level of recommendation, size of the company, and reputation of brokerage house represent explanatory variables. Preliminary results point out that the direction of investor reaction is generally consistent with the information contained in the recommendation, and that the reaction of the market seems to be stronger in the case of positive events than in the case of negative ones. The analysis of recommendation changes reflects more-detailed dependents. In particular, the interpretation of a neutral recommendation depends strongly on the level of the previous recommendation. If it represents growth from SELL or REDUCE, the reaction is positive, while in the case of a drop from ACCUMULATE or BUY, it leads to negative abnormal returns. This relationship is additionally confirmed by results from the linear regression models. The models show the size of the firm as a significant factor that has an influence on the reaction to a recommendation: the smaller the firm, the stronger the reaction.